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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview Wang, Yanshan; Fu, Sunyang; Shen, Feichen... In: JMIR Med Inform (2020) BASE Show details 2 MedSTS: a resource for clinical semantic textual similarity [<Journal>] Wang, Yanshan [Verfasser]; Afzal, Naveed [Verfasser]; Fu, Sunyang [Verfasser]. DNB Subject Category Language Show details 3 A Comparison of Word Embeddings for the Biomedical Natural Language Processing ... Wang, Yanshan; Liu, Sijia; Afzal, Naveed. - : arXiv, 2018 BASE Show details 4 Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes ... Shen, Feichen; Larson, David W; Naessens, James M.. - : arXiv, 2018 BASE Show details 5 Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions Sohn, Sunghwan; Wang, Yanshan; Wi, Chung-Il; Krusemark, Elizabeth A; Ryu, Euijung; Ali, Mir H; Juhn, Young J; Liu, Hongfang In: J Am Med Inform Assoc (2018) Abstract: OBJECTIVE: To assess clinical documentation variations across health care institutions using different electronic medical record systems and investigate how they affect natural language processing (NLP) system portability. MATERIALS AND METHODS: Birth cohorts from Mayo Clinic and Sanford Children’s Hospital (SCH) were used in this study (n = 298 for each). Documentation variations regarding asthma between the 2 cohorts were examined in various aspects: (1) overall corpus at the word level (ie, lexical variation), (2) topics and asthma-related concepts (ie, semantic variation), and (3) clinical note types (ie, process variation). We compared those statistics and explored NLP system portability for asthma ascertainment in 2 stages: prototype and refinement. RESULTS: There exist notable lexical variations (word-level similarity = 0.669) and process variations (differences in major note types containing asthma-related concepts). However, semantic-level corpora were relatively homogeneous (topic similarity = 0.944, asthma-related concept similarity = 0.971). The NLP system for asthma ascertainment had anF-score of 0.937 at Mayo, and produced 0.813 (prototype) and 0.908 (refinement) when applied at SCH. DISCUSSION: The criteria for asthma ascertainment are largely dependent on asthma-related concepts. Therefore, we believe that semantic similarity is important to estimate NLP system portability. As the Mayo Clinic and SCH corpora were relatively homogeneous at a semantic level, the NLP system, developed at Mayo Clinic, was imported to SCH successfully with proper adjustments to deal with the intrinsic corpus heterogeneity. Keyword: Research and Applications URL: https://doi.org/10.1093/jamia/ocx138 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378885/ http://www.ncbi.nlm.nih.gov/pubmed/29202185 BASE Hide details 6 A Comparison of Word Embeddings for the Biomedical Natural Language Processing Wang, Yanshan; Liu, Sijia; Afzal, Naveed. - 2018 BASE Show details 7 Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation Zhao, Yiqing; Fesharaki, Nooshin J.; Liu, Hongfang... In: Health Informatics & Administration Faculty Articles (2018) BASE Show details 8 Aligned-Layer Text Search in Clinical Notes Wu, Stephen; Wen, Andrew; Wang, Yanshan... In: Stud Health Technol Inform (2017) BASE Show details 9 BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences Ravikumar, K.E.; Rastegar-Mojarad, Majid; Liu, Hongfang. - : Oxford University Press, 2017 BASE Show details 10 The CHEMDNER corpus of chemicals and drugs and its annotation principles Krallinger, Martin; Rabal, Obdulia; Leitner, Florian. - : BioMed Central, 2015 BASE Show details 11 DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx Mehrabi, Saeed; Krishnan, Krishnan; Sohn, Sunghwan... In: PMC (2015) BASE Show details 12 Learning Semantic Tags from Big Data for Clinical Text Representation Li, Yanpeng; Liu, Hongfang. - : American Medical Informatics Association, 2015 BASE Show details 13 Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature Rastegar-Mojarad, Majid; Elayavilli, Ravikumar Komandur; Li, Dingcheng. - 2015 BASE Show details 14 Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification Sohn, Sunghwan; Wagholikar, Kavishwar B; Li, Dingcheng. - : BMJ Publishing Group Ltd, 2013 BASE Show details 15 Using Empirically Constructed Lexical Resources for Named Entity Recognition Jonnalagadda, Siddhartha; Cohen, Trevor; Wu, Stephen. - : Libertas Academica, 2013 BASE Show details 16 Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis Wu, Stephen T; Liu, Hongfang; Li, Dingcheng. - : BMJ Publishing Group Ltd, 2012 BASE Show details 17 Towards a semantic lexicon for clinical natural language processing Liu, Hongfang; Wu, Stephen T.; Li, Dingcheng. - : American Medical Informatics Association, 2012 BASE Show details 18 Semantic Characteristics of NLP-extracted Concepts in Clinical Notes vs. Biomedical Literature Wu, Stephen; Liu, Hongfang. - : American Medical Informatics Association, 2011 BASE Show details 19 A study of abbreviations in MEDLINE abstracts. Liu, Hongfang; Aronson, Alan R.; Friedman, Carol. - : American Medical Informatics Association, 2002 BASE Show details

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